Diskover Data

Diskover Data, Inc. operates as a data intelligence and management company, providing solutions for enterprises to organize and utilize large volumes of unstructured data. Founded in 2016 by Chris Park, who initially served as CEO and is the current CTO, the company originated with a focus on creating a web application to manage files and provide storage analytics. The platform was designed to offer visibility into complex data environments, helping to identify unused files and reduce storage waste. Will Hall currently leads the company as CEO, with Paul Honrud as the Chief Product Officer.

The company's business model is centered on its metadata-driven platform that addresses the challenge of managing unstructured data, which constitutes over 80% of enterprise data. It serves clients across various industries, including media and entertainment, life sciences, semiconductor design, energy, and manufacturing, boasting a customer base of over 130 enterprises. Revenue is generated through paid editions of its software, such as Professional, Enterprise, Media, and Life Science, which supplement a free community edition. In June 2025, Diskover secured $7.5 million in a seed funding round with participation from investors like Snowflake Ventures, NetApp, Park Capital Partners, and The Hive. This funding event coincided with the acquisition of CloudSoda, a data intelligence and orchestration platform, to enhance its service offerings.

Diskover's platform works by scanning, indexing, and enriching metadata from files across on-premises, cloud, and hybrid storage systems. This process creates a real-time, searchable inventory that provides a unified view of an organization's entire data estate. Key features include powerful search capabilities to locate files in seconds, automation for data movement and management, and policy-based governance to streamline compliance. The system is built with a foundation in open-source collaboration and features an extensible plug-in architecture, allowing for integration with existing workflows and tools. A significant benefit is its ability to prepare and curate high-quality, structured datasets for AI and Data Lakehouse strategies, helping organizations to feed their AI models with relevant and accurate data. By structuring previously opaque data, the platform helps clients reduce infrastructure costs, streamline data pipelines, and accelerate AI readiness and cyber resiliency.

Keywords: unstructured data management, metadata indexing, data discovery, data curation, AI data pipelines, hybrid cloud data, storage optimization, data governance, data intelligence, data lifecycle management, file analytics, enterprise search, data classification, CloudSoda, Snowflake integration, NetApp partnership, data orchestration, data lakehouse preparation, exabyte scale data, policy-based automation